Countermeasure of farmers' income structure optimization and balanced growth in Zhejiang, China: empirical analysis based on county data

doi:10.3969/j.issn.1004-1524.20230639

Acta Agriculturae Zhejiangensis ›› 2023, Vol. 35 ›› Issue (11): 2742-2750.DOI: 10.3969/j.issn.1004-1524.20230639

• Agricultural Economy and Development • Previous Articles

Countermeasure of farmers' income structure optimization and balanced growth in Zhejiang, China: empirical analysis based on county data

SUN Yongpeng¹(), XU Ping¹, MAO Wenlin², WANG Meiqing¹^,^*(), WANG Yuhan¹

1. Institute of Rural Development, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
2. College of Economics and Management, China Jiliang University, Hangzhou 310018, China

Received:2023-05-18 Online:2023-11-25 Published:2023-12-04

Abstract

Abstract:

Farmer's income is the key and core of issues of agriculture, farmer and rural area. Based on the statistical data of Zhejiang Province, China, the dynamic trend, structural changes and influencing factors of farmers' income at county level were systematically investigated through statistical description and econometric model construction. It was shown that after a long period of rapid growth, farmers' income in Zhejiang Province exhibited the characteristics of high base and slow growth, indicating a “fatigue state” in general. Thus, the growth target should be focused on adjusting structure and promoting equilibrium. The non-equilibrium of farmers' income at county level was significant in Zhejiang Procinve, but the gap within counties showed a decreasing trend year by year. Increasing the net operation income and transfer income would significantly promote the balanced growth of farmers' income within regions. Economic density had significant positive influence on farmer's income. Besides, per capita agricultural output value, fixed asset investment level, policy priorities also had significant positive influence on farmer's income. On the basis, countermeasures were put forward, such as taking the regional economy as the starting point to promote the balanced growth of farmers' income, promoting the optimization of farmers' income structure with institutional innovation as a breakthrough, stimulating the vitality of farmers' income growth with innovation and entrepreneurship as the carrier.

Key words: farmer's income, income structure, balanced growth, county economy

CLC Number:

S-9
F304.8

SUN Yongpeng, XU Ping, MAO Wenlin, WANG Meiqing, WANG Yuhan. Countermeasure of farmers' income structure optimization and balanced growth in Zhejiang, China: empirical analysis based on county data[J]. Acta Agriculturae Zhejiangensis, 2023, 35(11): 2742-2750.

Figures/Tables 4

References 25

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年份 Year	农民收入Farmers' income			经济密度Economic density
年份 Year	绝对值 Absolute value/yuan	基尼系数 Gini coefficient	泰尔指数 Theil index	基尼系数 Gini coefficient	泰尔指数 Theil index
2005	6 216.79	0.174 32	0.048 31	0.527 99	0.467 98
2006	6 666.19	0.170 22	0.046 16	0.528 44	0.468 68
2007	7 689.39	0.170 24	0.046 44	0.551 19	0.532 39
2008	8 582.95	0.170 25	0.046 19	0.527 07	0.465 19
2009	9 957.26	0.168 44	0.045 05	0.522 30	0.456 01
2010	10 739.63	0.167 96	0.044 66	0.537 36	0.496 73
2011	12 319.83	0.166 02	0.043 44	0.532 65	0.486 43
2012	14 247.58	0.165 29	0.043 07	0.528 95	0.478 51
2013	15 673.96	0.152 20	0.035 67	0.529 13	0.479 23
2014	19 400.26	0.155 55	0.036 99	0.527 87	0.476 62
2015	21 737.19	0.151 53	0.035 15	0.527 29	0.476 73
2016	23 167.98	0.148 52	0.033 80	0.525 42	0.473 02
2017	25 469.95	0.146 75	0.033 07	0.526 38	0.471 98
2018	27 486.28	0.123 40	0.024 89	0.500 49	0.414 87
2019	30 074.82	0.121 95	0.024 31	0.530 70	—
2020	32 181.62	0.112 26	0.033 57	0.500 88	—
2021	34 882.36	0.112 88	0.032 02	0.500 87	—

年份 Year	农民收入Farmers' income			经济密度Economic density
年份 Year	绝对值 Absolute value/yuan	基尼系数 Gini coefficient	泰尔指数 Theil index	基尼系数 Gini coefficient	泰尔指数 Theil index
2005	6 216.79	0.174 32	0.048 31	0.527 99	0.467 98
2006	6 666.19	0.170 22	0.046 16	0.528 44	0.468 68
2007	7 689.39	0.170 24	0.046 44	0.551 19	0.532 39
2008	8 582.95	0.170 25	0.046 19	0.527 07	0.465 19
2009	9 957.26	0.168 44	0.045 05	0.522 30	0.456 01
2010	10 739.63	0.167 96	0.044 66	0.537 36	0.496 73
2011	12 319.83	0.166 02	0.043 44	0.532 65	0.486 43
2012	14 247.58	0.165 29	0.043 07	0.528 95	0.478 51
2013	15 673.96	0.152 20	0.035 67	0.529 13	0.479 23
2014	19 400.26	0.155 55	0.036 99	0.527 87	0.476 62
2015	21 737.19	0.151 53	0.035 15	0.527 29	0.476 73
2016	23 167.98	0.148 52	0.033 80	0.525 42	0.473 02
2017	25 469.95	0.146 75	0.033 07	0.526 38	0.471 98
2018	27 486.28	0.123 40	0.024 89	0.500 49	0.414 87
2019	30 074.82	0.121 95	0.024 31	0.530 70	—
2020	32 181.62	0.112 26	0.033 57	0.500 88	—
2021	34 882.36	0.112 88	0.032 02	0.500 87	—

年份Year	收入来源Source of income	S_k	G_k	R_k	S_kG_kR_k/G	ε_k
2013	工资性收入Wage income	0.575	0.217	0.932	0.715	0.140
	经营净收入Operation income	0.290	0.181	0.434	0.140	-0.150
	财产净收入Property income	0.034	0.453	0.797	0.076	0.042
	转移净收入Transfer income	0.101	0.317	0.385	0.076	-0.025
2014	工资性收入Wage income	0.588	0.221	0.930	0.769	0.182
	经营净收入Operation income	0.278	0.190	0.415	0.140	-0.139
	财产净收入Property income	0.037	0.468	0.762	0.085	0.048
	转移净收入Transfer income	0.099	0.297	0.066	0.012	-0.087
2015	工资性收入Wage income	0.585	0.216	0.926	0.764	0.178
	经营净收入Operation income	0.276	0.186	0.406	0.136	-0.140
	财产净收入Property income	0.038	0.458	0.766	0.086	0.048
	转移净收入Transfer income	0.102	0.299	0.098	0.019	-0.082
2016	工资性收入Wage income	0.584	0.211	0.923	0.758	0.174
	经营净收入Operation income	0.271	0.186	0.388	0.130	-0.141
	财产净收入Property income	0.038	0.452	0.748	0.086	0.048
	转移净收入Transfer income	0.107	0.295	0.125	0.026	-0.081
2017	工资性收入Wage income	0.582	0.206	0.920	0.749	0.167
	经营净收入Operation income	0.271	0.191	0.401	0.141	-0.131
	财产净收入Property income	0.037	0.446	0.752	0.083	0.047
	转移净收入Transfer income	0.110	0.289	0.128	0.028	-0.083
2018	工资性收入Wage income	0.587	0.180	0.854	0.708	0.128
	经营净收入Operation income	0.153	0.191	0.344	0.138	-0.128
	财产净收入Property income	0.207	0.406	0.701	0.088	0.049
	转移净收入Transfer income	0.062	0.333	0.224	0.068	-0.047
2019	工资性收入Wage income	0.586	0.166	0.864	0.683	0.097
	经营净收入Operation income	0.267	0.183	0.359	0.142	-0.125
	财产净收入Property income	0.038	0.412	0.717	0.091	0.053
	转移净收入Transfer income	0.109	0.311	0.305	0.084	-0.025
2020	工资性收入Wage income	0.611	0.097	0.842	0.444	0.090
	经营净收入Operation income	0.238	0.089	0.400	0.076	-0.110
	财产净收入Property income	0.030	0.122	0.595	0.019	0.051
	转移净收入Transfer income	0.198	0.142	0.253	0.063	-0.026
2021	工资性收入Wage income	0.608	0.114	0.878	0.539	0.091
	经营净收入Operation income	0.242	0.104	0.535	0.119	-0.181
	财产净收入Property income	0.031	0.139	0.687	0.026	0.047
	转移净收入Transfer income	0.196	0.160	0.412	0.115	-0.033

年份Year	收入来源Source of income	S_k	G_k	R_k	S_kG_kR_k/G	ε_k
2013	工资性收入Wage income	0.575	0.217	0.932	0.715	0.140
	经营净收入Operation income	0.290	0.181	0.434	0.140	-0.150
	财产净收入Property income	0.034	0.453	0.797	0.076	0.042
	转移净收入Transfer income	0.101	0.317	0.385	0.076	-0.025
2014	工资性收入Wage income	0.588	0.221	0.930	0.769	0.182
	经营净收入Operation income	0.278	0.190	0.415	0.140	-0.139
	财产净收入Property income	0.037	0.468	0.762	0.085	0.048
	转移净收入Transfer income	0.099	0.297	0.066	0.012	-0.087
2015	工资性收入Wage income	0.585	0.216	0.926	0.764	0.178
	经营净收入Operation income	0.276	0.186	0.406	0.136	-0.140
	财产净收入Property income	0.038	0.458	0.766	0.086	0.048
	转移净收入Transfer income	0.102	0.299	0.098	0.019	-0.082
2016	工资性收入Wage income	0.584	0.211	0.923	0.758	0.174
	经营净收入Operation income	0.271	0.186	0.388	0.130	-0.141
	财产净收入Property income	0.038	0.452	0.748	0.086	0.048
	转移净收入Transfer income	0.107	0.295	0.125	0.026	-0.081
2017	工资性收入Wage income	0.582	0.206	0.920	0.749	0.167
	经营净收入Operation income	0.271	0.191	0.401	0.141	-0.131
	财产净收入Property income	0.037	0.446	0.752	0.083	0.047
	转移净收入Transfer income	0.110	0.289	0.128	0.028	-0.083
2018	工资性收入Wage income	0.587	0.180	0.854	0.708	0.128
	经营净收入Operation income	0.153	0.191	0.344	0.138	-0.128
	财产净收入Property income	0.207	0.406	0.701	0.088	0.049
	转移净收入Transfer income	0.062	0.333	0.224	0.068	-0.047
2019	工资性收入Wage income	0.586	0.166	0.864	0.683	0.097
	经营净收入Operation income	0.267	0.183	0.359	0.142	-0.125
	财产净收入Property income	0.038	0.412	0.717	0.091	0.053
	转移净收入Transfer income	0.109	0.311	0.305	0.084	-0.025
2020	工资性收入Wage income	0.611	0.097	0.842	0.444	0.090
	经营净收入Operation income	0.238	0.089	0.400	0.076	-0.110
	财产净收入Property income	0.030	0.122	0.595	0.019	0.051
	转移净收入Transfer income	0.198	0.142	0.253	0.063	-0.026
2021	工资性收入Wage income	0.608	0.114	0.878	0.539	0.091
	经营净收入Operation income	0.242	0.104	0.535	0.119	-0.181
	财产净收入Property income	0.031	0.139	0.687	0.026	0.047
	转移净收入Transfer income	0.196	0.160	0.412	0.115	-0.033

指标 Index	模型1 Model 1	模型2 Model 2	模型3 Model3
lnE	0.073 7^***	0.589 0^***	—
	(0.010 2)	(0.029 3)	—
lnB	-0.003 2	-0.024 2^***	-0.000 6
	(0.002 8)	(0.002 9)	(0.009 0)
lnA	0.038 1^**	0.058 4^**	0.055 6
	(0.017 7)	(0.028 1)	(0.071 8)
lnI	0.277 0^***	0.114 0^***	0.293 0^***
	(0.017 3)	(0.015 2)	(0.048 9)
lnP	0.278 0^***	0.245 0^***	0.277 0^***
	(0.014 2)	(0.018 8)	(0.040 9)
截距项	5.234 0^***	4.877 0^***	—
Intercept term	(0.303 0)	(0.308 0)	—
n	847	847	847
R²	0.86	0.96	0.72

Countermeasure of farmers' income structure optimization and balanced growth in Zhejiang, China: empirical analysis based on county data

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